Math.NET Numerics
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// <copyright file="Cholesky.cs" company="Math.NET">
// Math.NET Numerics, part of the Math.NET Project
// http://numerics.mathdotnet.com
// http://github.com/mathnet/mathnet-numerics
// http://mathnetnumerics.codeplex.com
// Copyright (c) 2009-2010 Math.NET
// Permission is hereby granted, free of charge, to any person
// obtaining a copy of this software and associated documentation
// files (the "Software"), to deal in the Software without
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// copies of the Software, and to permit persons to whom the
// Software is furnished to do so, subject to the following
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// The above copyright notice and this permission notice shall be
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// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
// OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
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// HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
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// </copyright>
using System;
using System.Globalization;
using MathNet.Numerics.LinearAlgebra.Double;
namespace Examples.LinearAlgebra.FactorizationExamples
{
/// <summary>
/// Cholesky factorization example. For a symmetric, positive definite matrix A, the Cholesky factorization
/// is an lower triangular matrix L so that A = L*L'
/// </summary>
/// <seealso cref="http://reference.wolfram.com/mathematica/ref/CholeskyDecomposition.html"/>
public class Cholesky : IExample
{
/// <summary>
/// Gets the name of this example
/// </summary>
public string Name
{
get
{
return "Cholesky factorization";
}
}
/// <summary>
/// Gets the description of this example
/// </summary>
public string Description
{
get
{
return "Perform the Cholesky factorization to the appropriate class";
}
}
/// <summary>
/// Run example
/// </summary>
/// <seealso cref="http://en.wikipedia.org/wiki/Cholesky_decomposition">Cholesky decomposition</seealso>
public void Run()
{
// Format matrix output to console
var formatProvider = (CultureInfo)CultureInfo.InvariantCulture.Clone();
formatProvider.TextInfo.ListSeparator = " ";
// Create square, symmetric, positive definite matrix
var matrix = DenseMatrix.OfArray(new[,] { { 2.0, 1.0 }, { 1.0, 2.0 } });
Console.WriteLine(@"Initial square, symmetric, positive definite matrix");
Console.WriteLine(matrix.ToString("#0.00\t", formatProvider));
Console.WriteLine();
// Perform Cholesky decomposition
var cholesky = matrix.Cholesky();
Console.WriteLine(@"Perform Cholesky decomposition");
// 1. Lower triangular form of the Cholesky matrix
Console.WriteLine(@"1. Lower triangular form of the Cholesky matrix");
Console.WriteLine(cholesky.Factor.ToString("#0.00\t", formatProvider));
Console.WriteLine();
// 2. Reconstruct initial matrix: A = L * LT
var reconstruct = cholesky.Factor * cholesky.Factor.Transpose();
Console.WriteLine(@"2. Reconstruct initial matrix: A = L*LT");
Console.WriteLine(reconstruct.ToString("#0.00\t", formatProvider));
Console.WriteLine();
// 3. Get determinant of the matrix
Console.WriteLine(@"3. Determinant of the matrix");
Console.WriteLine(cholesky.Determinant);
Console.WriteLine();
// 4. Get log determinant of the matrix
Console.WriteLine(@"4. Log determinant of the matrix");
Console.WriteLine(cholesky.DeterminantLn);
Console.WriteLine();
}
}
}